Surface conductance and evaporation from 1km to continental scales using remote sensing Ray Leuning, Yonqiang Zhang, Amelie Rajaud, Helen Cleugh, Francis Chiew,

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Transcript Surface conductance and evaporation from 1km to continental scales using remote sensing Ray Leuning, Yonqiang Zhang, Amelie Rajaud, Helen Cleugh, Francis Chiew,

Surface conductance and evaporation from 1km to continental scales using remote sensing
Ray Leuning, Yonqiang Zhang,
Amelie Rajaud, Helen Cleugh, Francis Chiew, Lu Zhang & Kevin Tu
CSIRO Marine & Atmospheric Research, CSIRO Land & Water
5 February 2008
The challenge
Estimate energy &
water fluxes at
multiple scales
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
MODIS evaporation – a “new” approach
• Penman-Monteith equation for surface evaporation:
 Esurface
 A  (  c p /  ) DaGa

  1  Ga / Gs
• where
A  available energy
Da  water vapor deficit
Ga  aerodynamic conductance
Gs  surface conductance - we model this
 s/
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
Surface evaporation = canopy + soil evaporation
Esurface  Ecanopy  Esoil
• PM equation for surface & canopy evaporation
• fraction f of equilibrium rate at soil surface:
  Ga / Gi
 (1   )  Ga / Gi f 


  1  Ga / Gs
  1  Ga / Gc
 1
surface
• where
canopy
  As / A = exp( - k A Lai )
A
Gi 
(  c p /  ) Da
soil
MODIS15A2
remote sensing
'climatological conductance'
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
Canopy conductance
• Canopy conductance
(after Kelliher et al., 1995; Leuning, 1995)


g sx 
Qh  Q50
1
Gc 
ln 


kQ  Qh exp(kQ L)  Q50  1  Da / D50 
stomatal
light
humidity deficit
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
Gs sensitivity analysis
D
A
0.5
200
2.0
f
gsx
0.003
0.009
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
800
0.8
0.2
Time series for Fluxnet sites: Emeas  Eeq
Deciduous
Evergreen
A
Eeq 
 1
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
Time series for Fluxnet sites: Emeas  Eeq
Conifer
Savanna
A
Eeq 
 1
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
Eeq & ERS versus Emeas for 15 FluxNet sites
ERS - PM Equation with
Gs & MODIS LAI
Eeq - Equilibrium evaporation
(c)
ERS (mm/d)
Eeq (mm/d)
(d)
Emeas (mm/d)
Emeas (mm/d)
(e)
(f)
2 free parameters: gsx & f
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
Application of ERS to Murray Darling Basin
• Long-term water balances of gauged catchments
Sw
 PER0
tav
as tav  
• Thus
E  PR
as tav  
• Invert evaporation model to solve for gsx & f in model for Gs
• Parameters for 3 rainfall zones from 135 catchments,
P  450, 450  P  750, P  750
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
mm/yr
Landcover & gauged catchments
– Murray Darling Basin
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
Data
• Meteorological data
• Daily values of solar radiation, Tmin, Tmax and H2O vapor pressure from
SILO database, 2000-2005
• MODIS data 2000-2005
• 8-day/1km MOD15A2 LAI from Distributed Active Archive Center of NASA,
• Yearly/1km MOD12 land cover
• Runoff + rainfall data
• Daily runoff at 135 gauged catchments of MDB
• Daily precipitation from SILO
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
Time series of E, P & Lai for two catchments
near Tumbarumba
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
5-year average ERS vs EWB for 135 catchments
1000
y = 1.05x
2
R = 0.61
ERS (mm/yr)
800
600
400
200
200
400
600
800
EWB (mm/yr)
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
1000
P & ERS – Murray Darling Basin
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
Water supply limit
Energy
limit
Remote
sensing
Zhang
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
Budyko
Water
balance
Runoff: RRs and RBudyko
if ERS  P,
R0
800
800
y = 0.80x
R2 = 0.81
RBudyko (mm/yr)
RRS (mm/yr)
600
400
200
0
y = 0.87x
R2 = 0.59
600
400
200
0
0
200
400
600
800
0
Rmeas (mm/yr)
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
200
400
Rmeas (mm/yr)
600
800
Runoff maps
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
Conclusions and further work
• PM equation, Gs model & MODIS Lai
• Builds in energy balance from start
• useful for estimating evaporation at catchment scale
• Gs model – biophysical with two parameters gsx and f
• Overestimation of E due to uncertainties in
• MODIS Lai
• Single value of f for each rainfall zone – should be variable
• No constraint by water balance
• Further work
• Combine PM combination equation with catchment water balance
• Improve soil evaporation component
• Use microwave remote sensing for f?
CSIRO. Surface conductance and evaporation from 1-km to continental scales using remote sensing
CSIRO Marine & Atmospheric Research
Ray Leuning
Phone: 61 2 6246 5557
Email: [email protected]
http://www.dar.csiro.au/lai/ozflux/
Thank you
Contact Us
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